Distributed Systems Engineer

I build reliable distributed systems for high-throughput, production-critical workloads.

Software Engineer specialising in distributed systems, event-driven architecture, Java, Spring Boot, Kafka, and cloud-native infrastructure. I build reliable backend platforms that scale.

Core Skills

Grouped by the systems I build and operate most often.

Backend

Java, Spring Boot, REST APIs, gRPC, Spring Security, Hibernate, JPA

Messaging

Kafka, JMS, asynchronous workflows, retry strategies, dead-letter queues

Cloud

AWS, GCP, Docker, Kubernetes, Helm, CI/CD, blue-green deployments

Databases & Observability

PostgreSQL, Oracle, Redis, Prometheus, Grafana, ELK, tracing

Architecture Case Study

Recovery paths, event flow, and failure handling in distributed workloads.

Distributed Event Processing Recovery Workflow

A generalized Kafka-driven recovery pattern based on the event processing platform work: ingestion, fan-out, retry isolation, dead-letter handling, and operational visibility.

Producer APIs Ingress Service
Kafka Topics Consumer Group Workflow Services
PostgreSQL Retry Queue Dead Letter Queue
Prometheus Grafana ELK Stack

PR Intelligence Platform Review Flow

Event-driven review orchestration from pull-request ingestion through analysis, persistence, and resilient result delivery.

  1. Ingestion Pull request metadata enters a Spring Boot API and is persisted before dispatch.
  2. Dispatch Kafka events trigger asynchronous review jobs without blocking the intake path.
  3. Analysis Rule engines and AI-assisted analyzers produce findings, recommendations, and status changes.
  4. Resilience Failed jobs are retried with status tracking, while review history remains queryable through APIs.
PR Webhook Review API Kafka Review Findings

Experience

Built for scale in financial systems and high-traffic commerce.

Jan 2026 - Present State Street

Software Engineer

Built low-latency fund transaction and reconciliation services with Java, Spring Boot, Kafka, JMS, Oracle, PostgreSQL, Docker, Kubernetes, Jenkins, and AWS.

  • Improved platform throughput by 40% through event-driven transaction pipelines.
  • Reduced database query latency from 3.2s to under 1.1s in production.
  • Enabled operations teams to resolve breaks 35% faster with workflow dashboards.
Feb 2022 - Dec 2024 Accenture | Flipkart

Software Engineer

Delivered backend systems for large-scale checkout and payment flows using Java, Spring Boot, Kafka, Cassandra, MySQL, Redis, Elasticsearch, Docker, Kubernetes, Jenkins, and GCP.

  • Improved payment success rate by 12% with smart-retry payment orchestration.
  • Reduced end-to-end API latency by 35% through performance tuning.
  • Cut infrastructure overhead by 22% via scaling and cloud optimization.

Featured Builds

Projects that show systems thinking, not just code samples.

PR Intelligence Platform

AI-assisted pull request analysis platform with event-driven review orchestration, persistent review history, and observability-first service design.

Engineering Highlights

  • Spring Boot microservices
  • Kafka-based orchestration
  • Persistent review history and failure recovery
  • Docker-based local deployment and metrics hooks

Distributed Event Processing System

Real-time event-processing platform built around Kafka, resilient consumers, dead-letter handling, and horizontally scalable services.

Engineering Highlights

  • Retry handling and DLQ workflow
  • REST APIs and monitoring hooks
  • Containerized deployment model
  • Horizontally scalable consumer design

Mobile Payment Security System

Security-focused project based on IMEI-driven device verification to strengthen mobile payment authentication and trust.

Engineering Highlights

  • Research-backed implementation
  • Authentication design lens
  • Payment security use case
  • Publication-connected project story

Publication

Peer-visible work beyond code repositories.

Peer-Reviewed Springer Conference Paper

Improved Security on Mobile Payments Using IMEI Verification

Peer-reviewed conference paper published in Springer's Advances in Intelligent Systems and Computing proceedings for ICSADL 2022, focused on a stronger mobile payment security model centered around IMEI-based device verification.

ICSADL 2022 | Springer | DOI Available

W. Jeshwin et al., “Improved Security on Mobile Payments Using IMEI Verification,” Sentiment Analysis and Deep Learning, Springer, 2023, pp. 183-193.

1120 accesses
1 citation
183-193 pages

Credentials

Formal grounding plus current specialization.

AWS Certified Solutions Architect - Associate

Issued March 2026. Aligns with cloud-native architecture, reliability, and scalable platform design.

MS in Computer Science

Oklahoma City University, Oklahoma City, Oklahoma, United States.

B.Tech in Computer Science and Engineering

Hindustan University, building the base for systems, software, and engineering fundamentals.

Contact

Open to backend, distributed systems, and platform engineering opportunities.

I am especially interested in high-throughput services, event-driven architecture, cloud infrastructure, and developer platforms where reliability and performance matter.